Sotabase

Career

· Assistant Professor, Yale University2022–
· Founding Engineer, Kumo.AI2021–
· Research Intern, DeepMind2019–2019
· Research Intern, Facebook2018–2018
· Research Intern, Pinterest2017–2017
· Intern, Google2015–2015
· Intern, Google2014–2014
· Operating System Teaching Assistant, Duke University2013–2013
· Software Design Teaching Assistant, Duke University2013–2013

Publications (86)

Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Knowledge Discovery and Data Mining · 2018
3,947
cited
Hierarchical Graph Representation Learning with Differentiable Pooling
Neural Information Processing Systems · 2018
2,388
cited
Representation Learning on Graphs: Methods and Applications
IEEE Data Engineering Bulletin · 2017
2,099
cited
GNNExplainer: Generating Explanations for Graph Neural Networks
Neural Information Processing Systems · 2019
1,675
cited
Learning to Simulate Complex Physics with Graph Networks
International Conference on Machine Learning · 2020
1,333
cited
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Neural Information Processing Systems · 2018
976
cited
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
International Conference on Machine Learning · 2018
957
cited
Hyperbolic Graph Convolutional Neural Networks
Neural Information Processing Systems · 2019
775
cited
Position-aware Graph Neural Networks
International Conference on Machine Learning · 2019
557
cited
Design Space for Graph Neural Networks
Neural Information Processing Systems · 2020
367
cited
TrustLLM: Trustworthiness in Large Language Models
arXiv.org · 2024
294
cited
Identity-aware Graph Neural Networks
AAAI Conference on Artificial Intelligence · 2021
292
cited
Neural Execution of Graph Algorithms
International Conference on Learning Representations · 2019
190
cited
Multi-hop Attention Graph Neural Networks
International Joint Conference on Artificial Intelligence · 2020
161
cited
Neural Subgraph Matching
arXiv.org · 2020
116
cited
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
arXiv.org · 2019
111
cited
GraphRNN: A Deep Generative Model for Graphs
International Conference on Machine Learning · 2018
107
cited
Improving Graph Attention Networks with Large Margin-based Constraints
arXiv.org · 2019
92
cited
Redundancy-Free Computation for Graph Neural Networks
Knowledge Discovery and Data Mining · 2020
80
cited
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
LOG IN · 2022
79
cited
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Rex Ying | Researcher Profile | Sotabase | Sotabase